52 Data Scientist jobs in Canada available for remote work from home. Apply for positions such as Data Scientist, Data Scientist, Data Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Evaluate AI model outputs across statistics, machine learning, and quantitative reasoning to ensure high-quality performance. Create expert-level prompts, datasets, and reference solutions while providing structured feedback to improve model capabilities.
The Data Scientist will develop and deploy predictive algorithms and production pipelines to analyze automotive industry data. They will collaborate with engineering teams to optimize ETL processes and create visual reports to communicate findings to stakeholders.
The Data Scientist will build predictive models and forecasting frameworks to analyze streaming data and audience behavior. They will also collaborate with cross-functional teams to optimize marketing campaigns and translate complex data into actionable business insights.
You will develop and operationalize predictive models to turn fleet operational data into actionable intelligence for customers. You will collaborate with product, design, and engineering teams to integrate these models into customer-facing workflows.
The Data Scientist designs and delivers statistical, machine learning, and AI solutions to address business problems and improve organizational processes. They are responsible for the end-to-end lifecycle of these solutions, including scoping, development, validation, and handover to operational teams.
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Own the data science components of client engagements end-to-end, from architecture and modeling to production deployment and monitoring. Collaborate with cross-functional teams to define project scopes, present results to non-technical stakeholders, and mentor senior engineers.
You will build, validate, and deploy machine learning models to detect and mitigate fraud in real time. Additionally, you will collaborate with engineering and risk teams to ensure data quality and optimize model performance.
You will build, validate, and deploy machine learning models to identify and prevent fraud in real time while ensuring data quality across pipelines. Additionally, you will collaborate with risk and engineering teams to optimize model performance and establish technical best practices.
Lead end-to-end data science initiatives for predictive analytics and machine learning use cases. Design, build, and deploy scalable ML models on AWS while collaborating with cross-functional teams to ensure business impact.
The Staff Data Scientist will analyze large-scale broadband telemetry data to develop machine learning models for network intelligence and subscriber experience. They will collaborate with engineering teams to integrate these models into cloud-native pipelines and communicate actionable insights to stakeholders.
You will provide technical leadership for applied AI and data science initiatives, guiding complex projects from concept to production. You will also act as a senior consultant to cross-functional teams to identify high-value opportunities and establish best practices for AI and GenAI solutions.
Architect and maintain modular agentic applications using generative AI and retrieval systems to improve legal technology solutions. Ensure production readiness through rigorous testing, observability, and performance optimization of LLM-powered workflows.
Architect and maintain modular agentic applications using generative AI and retrieval systems to improve legal technology solutions. Ensure production readiness through rigorous testing, observability, and performance optimization of LLM-powered workflows.
Lead the design, development, and evaluation of advanced machine-learning models for large-scale structured and transactional data. Partner with engineering, product, and domain experts to translate technical research into scalable, customer-facing capabilities.
The Senior Data Scientist will design and deploy large-scale experiments for retail clients while developing standardized measurement methodologies. They will also collaborate with cross-functional teams to conduct deep-dive analyses and provide data-driven business solutions.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
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The Senior Data Scientist will build, evaluate, and deploy machine learning models for risk scoring and threat intelligence. They will also collaborate with cross-functional teams to integrate these models into production systems and communicate findings to stakeholders.
You will collaborate with cross-functional teams to identify growth opportunities and improve user acquisition, activation, and retention. You will also define key performance indicators and build data-driven models to inform business decisions and product strategy.
You will partner with product, engineering, and marketing teams to identify growth opportunities and drive business decisions through experimentation and data analysis. Additionally, you will build dashboards, models, and self-serve tools to improve visibility into user behavior and business performance.
You will partner with product, engineering, and marketing teams to identify growth opportunities and drive business decisions through experimentation and data analysis. You will also define KPIs, build dashboards, and develop models to improve visibility into user behavior and financial performance.
The Principal Data Scientist will lead the development of digital pathology AI models to predict clinical outcomes and pathological features. They will also coordinate cross-functional team efforts, manage project execution, and collaborate with internal and external experts to build evidence for model utility.
You will define the long-term scientific strategy for ads measurement, signal quality, and privacy-aware attribution at Reddit. This role involves leading cross-functional initiatives to build rigorous evaluation frameworks and mentoring senior data scientists to advance technical standards.
You will design and implement probabilistic models for identity resolution and advance lift methodologies to improve advertising performance. Additionally, you will lead cross-functional initiatives to define ground truth frameworks and maximize signal quality for predictive bidding models.
You will architect advanced machine learning solutions and lead complex initiatives across the global ML ecosystem. Additionally, you will mentor junior engineers and establish high engineering standards for scalable, production-ready systems.
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Own the analysis and algorithmic solution of technical problems in ads delivery, translating them into production-ready ML models. Partner cross-functionally to deploy high-availability microservices and establish robust monitoring and lineage tracking for ML systems.
Design and validate high-quality datasets for training and evaluating financial-domain LLMs and AI agents. Translate complex financial goals into concrete dataset specifications, rubrics, and statistical evidence to support model risk management.
The role involves designing and validating high-quality datasets and evaluation frameworks for healthcare-specific generative AI models. You will translate clinical goals into measurable specifications and ensure the clinical validity and safety of AI outputs across multimodal health data.
Develop advanced ML-based fraud and risk models to reduce financial loss and safeguard user funds. Collaborate across Risk, Compliance, and Product teams to create risk signals and automate decision-making tools.
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